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Artificial Neural Networks and Machine Learning – ICANN 2013

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Table of Contents

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    Book Overview
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    Chapter 1 Hessian Corrected Input Noise Models
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    Chapter 2 Model-Based Clustering of Temporal Data
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    Chapter 3 Fast Approximation Method for Gaussian Process Regression Using Hash Function for Non-uniformly Distributed Data
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    Chapter 4 An Analytical Approach to Single Node Delay-Coupled Reservoir Computing
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    Chapter 5 Applying General-Purpose Data Reduction Techniques for Fast Time Series Classification
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    Chapter 6 Two-Layer Vector Perceptron
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    Chapter 7 Local Detection of Communities by Neural-Network Dynamics
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    Chapter 8 The Super-Turing Computational Power of Interactive Evolving Recurrent Neural Networks
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    Chapter 9 Group Fused Lasso
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    Chapter 10 Exponential Synchronization of a Class of RNNs with Discrete and Distributed Delays
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    Chapter 11 Variational Foundations of Online Backpropagation
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    Chapter 12 GNMF with Newton-Based Methods
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    Chapter 13 Improving the Associative Rule Chaining Architecture
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    Chapter 14 A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines
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    Chapter 15 A Low-Energy Implementation of Finite Automata by Optimal-Size Neural Nets
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    Chapter 16 A Distributed Learning Algorithm Based on Frontier Vector Quantization and Information Theory
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    Chapter 17 Efficient Baseline-Free Sampling in Parameter Exploring Policy Gradients: Super Symmetric PGPE
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    Chapter 18 Direct Method for Training Feed-Forward Neural Networks Using Batch Extended Kalman Filter for Multi-Step-Ahead Predictions
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    Chapter 19 Learning with Hard Constraints
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    Chapter 20 Bidirectional Activation-based Neural Network Learning Algorithm
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    Chapter 21 A Neural Network Model for Online Multi-Task Multi-Label Pattern Recognition
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    Chapter 22 Novel Feature Selection and Kernel-Based Value Approximation Method for Reinforcement Learning
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    Chapter 23 Learning of Lateral Interactions for Perceptual Grouping Employing Information Gain
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    Chapter 24 On–Line Laplacian One–Class Support Vector Machines
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    Chapter 25 OSA: One-Class Recursive SVM Algorithm with Negative Samples for Fault Detection
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    Chapter 26 EEG Dataset Reduction and Classification Using Wave Atom Transform
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    Chapter 27 Embodied Language Understanding with a Multiple Timescale Recurrent Neural Network
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    Chapter 28 Unsupervised Online Calibration of a c-VEP Brain-Computer Interface (BCI)
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    Chapter 29 A Biologically Inspired Model for the Detection of External and Internal Head Motions
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    Chapter 30 Cortically Inspired Sensor Fusion Network for Mobile Robot Heading Estimation
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    Chapter 31 Learning Sensorimotor Transformations with Dynamic Neural Fields
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    Chapter 32 Artificial Neural Networks and Machine Learning – ICANN 2013
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    Chapter 33 Memory Trace in Spiking Neural Networks
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    Chapter 34 Attention-Gated Reinforcement Learning in Neural Networks—A Unified View
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    Chapter 35 Dynamic Memory for Robot Control Using Delay-Based Coincidence Detection Neurones
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    Chapter 36 Robust Principal Component Analysis for Brain Imaging
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    Chapter 37 Phase Control of Coupled Neuron Oscillators
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    Chapter 38 Dendritic Computations in a Rall Model with Strong Distal Stimulation
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    Chapter 39 Modeling Action Verb Semantics Using Motion Tracking
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    Chapter 40 Evolution of Dendritic Morphologies Using Deterministic and Nondeterministic Genotype to Phenotype Mapping
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    Chapter 41 Sparseness Controls the Receptive Field Characteristics of V4 Neurons: Generation of Curvature Selectivity in V4
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    Chapter 42 Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging
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    Chapter 43 Echo State Networks in Dynamic Data Clustering
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    Chapter 44 Self-Organization in Parallel Coordinates
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    Chapter 45 A General Image Representation Scheme and Its Improvement for Image Analysis
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    Chapter 46 Learning Features for Activity Recognition with Shift-Invariant Sparse Coding
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    Chapter 47 Hearing Aid Classification Based on Audiology Data
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    Chapter 48 BLSTM-RNN Based 3D Gesture Classification
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    Chapter 49 Feature Selection for Neural Network-Based Interval Forecasting of Electricity Demand Data
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    Chapter 50 A Combination of Hand-Crafted and Hierarchical High-Level Learnt Feature Extraction for Music Genre Classification
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    Chapter 51 Exploration of Loneliness Questionnaires Using the Self-Organising Map
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    Chapter 52 An Effective Dynamic Gesture Recognition System Based on the Feature Vector Reduction for SURF and LCS
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    Chapter 53 Feature Weighting by Maximum Distance Minimization
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    Chapter 54 Training Computationally Efficient Smartphone–Based Human Activity Recognition Models
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    Chapter 55 A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers
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    Chapter 56 Online Classification of Eye Tracking Data for Automated Analysis of Traffic Hazard Perception
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    Chapter 57 Time-Series Forecasting of Indoor Temperature Using Pre-trained Deep Neural Networks
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    Chapter 58 Recurrent Fuzzy-Neural Network with Fast Learning Algorithm for Predictive Control
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    Chapter 59 Artificial Neural Networks and Machine Learning – ICANN 2013
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    Chapter 60 A Software Framework for Cognition, Embodiment, Dynamics, and Autonomy in Robotics: Cedar
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    Chapter 61 Adaptive Critic Neural Network Solution of Optimal Control Problems with Discrete Time Delays
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    Chapter 62 Emotion Generation System Considering Complex Emotion Based on MaC Model with Neural Networks
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    Chapter 63 Neuro-Optimal Controller for Robot Manipulators
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    Chapter 64 Learning to Walk Using a Recurrent Neural Network with Time Delay
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    Chapter 65 The Imbalance Network and Incremental Evolution for Mobile Robot Nervous System Design
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    Chapter 66 Balancing of a Simulated Inverted Pendulum Using the NeuraBase Network Model
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    Chapter 67 Coordinated Rule Acquisition of Decision Making on Supply Chain by Exploitation-Oriented Reinforcement Learning
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    Chapter 68 Using Exponential Kernel for Word Sense Disambiguation
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    Chapter 69 Independent Component Analysis Filtration for Value at Risk Modelling
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    Chapter 70 Wind Power Resource Estimation with Deep Neural Networks
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    Chapter 71 Wavelet Neural Networks for Electricity Load Forecasting – Dealing with Border Distortion and Shift Invariance
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    Chapter 72 Interactive Two-Level WEBSOM for Organizational Exploration
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    Chapter 73 Optimal Operation of Electric Power Production System without Transmission Losses Using Artificial Neural Networks Based on Augmented Lagrange Multiplier Method
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    Chapter 74 An Echo State Network with Working Memories for Probabilistic Language Modeling
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    Chapter 75 Using the Analytic Feature Framework for the Detection of Occluded Objects
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    Chapter 76 Boltzmann Machines for Image Denoising
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    Chapter 77 Comparison on Late Fusion Methods of Low Level Features for Content Based Image Retrieval
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    Chapter 78 Vehicle Plate Recognition Using Improved Neocognitron Neural Network
Overall attention for this book and its chapters
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Title
Artificial Neural Networks and Machine Learning – ICANN 2013
Published by
Springer Berlin Heidelberg, January 2013
DOI 10.1007/978-3-642-40728-4
ISBNs
978-3-64-240727-7, 978-3-64-240728-4
Editors

Mladenov, Valeri, Koprinkova-Hristova, Petia, Palm, Günther, Villa, Alessandro E. P., Appollini, Bruno, Kasabov, Nikola

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 321 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 321 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 1%
Student > Bachelor 2 <1%
Professor 1 <1%
Student > Master 1 <1%
Researcher 1 <1%
Other 0 0%
Unknown 312 97%
Readers by discipline Count As %
Computer Science 5 2%
Mathematics 2 <1%
Physics and Astronomy 1 <1%
Engineering 1 <1%
Unknown 312 97%